Application of optimal control and fuzzy theory for dynamic groundwater remediation design

Hone Jay Chu; Liang-Jeng Chang

doi:10.1007/s11269-008-9293-1

Application of optimal control and fuzzy theory for dynamic groundwater remediation design

Hone Jay Chu, Liang-Jeng Chang^*

^*此作品的通信作者

土木工程學系

研究成果: Article › 同行評審

38 引文斯高帕斯（Scopus）

摘要

Obtaining optimal solutions for time-varying groundwater remediation design is a challenging task. A novel procedure first employs input/output data sets obtained by constrained differential dynamic programming (CDDP). Then the Adaptive-Network-Based Fuzzy Inference System (ANFIS), which is a fuzzy inference system (FIS) implemented in the adaptive network framework, is applied to acquire time-varying pumping rates. Results demonstrate that the FIS is an efficient way of groundwater remediation design.

原文	English
頁（從 - 到）	647-660
頁數	14
期刊	Water Resources Management
卷	23
發行號	4
DOIs	https://doi.org/10.1007/s11269-008-9293-1
出版狀態	Published - 1 1月 2009

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Application of optimal control and fuzzy theory for dynamic groundwater remediation design

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